chore(ci): run crashtracking ffi example tests in CI by gyuheon0h · Pull Request #1687 · DataDog/libdatadog

gyuheon0h · 2026-03-06T21:25:12Z

What does this PR do?

Previously, we couldn't run crashtracking FFI examples in CI because the C example had paths like /tmp/libdatadog/bin/libdatadog-crashtracking-receiver and /tmp/crashreports/ baked in, which is variable in CI. Also, the test runner had no way to handle intentional crashes.

This PR

Enables the crashtracking FFI example to run in CI instead of being skipped
Adds ExpectedCrash support to the FFI test runner to validate tests that intentionally crash

examples/ffi/crashtracking.c

Make receiver binary and output directory configurable via DDOG_CRASHT_TEST_RECEIVER and DDOG_CRASHT_TEST_OUTPUT_DIR env vars (falls back to hardcoded defaults for manual use)
Forward LD_LIBRARY_PATH/DYLD_LIBRARY_PATH to the receiver process so it can find shared libraries
Remove the custom signal(SIGSEGV, ...) handler
I also ran the clang formatter here

tools/src/bin/ffi_test.rs

Remove crashtracking from the skip list
Add ExpectedCrash concept: validates the process dies with the expected signal (SIGSEGV) and that a crash report file was produced
Extract shared find_receiver_paths() and library_search_path_env() helpers used by both crashtracking and crashtracking_unhandled_exception tests

Motivation

Although FFI examples are not meant to increase test coverage, running the crashtracking example in CI is a QOL improvement that makes sure our public FFI surface is buildable and usable in real-world scenarios.

How to test the change?

crashtracking FFI tests now run in CI

gyuheon0h · 2026-03-06T21:25:27Z

chore(ci): run crashtracking ffi example tests in CI #1687 👈 (View in Graphite)
main

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github-actions · 2026-03-06T21:27:39Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/gyuheon0h/enable-crashtracker-ffi-ci

Summary by Rule

Rule	Base Branch	PR Branch	Change

Annotation Counts by File

File	Base Branch	PR Branch	Change

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
`clippy-annotation-reporter`	5	5	No change (0%)
`datadog-ffe-ffi`	1	1	No change (0%)
`datadog-ipc`	28	28	No change (0%)
`datadog-live-debugger`	6	6	No change (0%)
`datadog-live-debugger-ffi`	10	10	No change (0%)
`datadog-profiling-replayer`	4	4	No change (0%)
`datadog-remote-config`	3	3	No change (0%)
`datadog-sidecar`	59	59	No change (0%)
`libdd-common`	10	10	No change (0%)
`libdd-common-ffi`	12	12	No change (0%)
`libdd-crashtracker`	12	12	No change (0%)
`libdd-data-pipeline`	5	5	No change (0%)
`libdd-ddsketch`	2	2	No change (0%)
`libdd-dogstatsd-client`	1	1	No change (0%)
`libdd-profiling`	13	13	No change (0%)
`libdd-telemetry`	19	19	No change (0%)
`libdd-tinybytes`	4	4	No change (0%)
`libdd-trace-normalization`	2	2	No change (0%)
`libdd-trace-obfuscation`	9	9	No change (0%)
`libdd-trace-utils`	15	15	No change (0%)
Total	220	220	No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

codecov-commenter · 2026-03-06T21:40:47Z

Codecov Report

❌ Patch coverage is 0% with 79 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.31%. Comparing base (bd94dd9) to head (4b412c1).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1687      +/-   ##
==========================================
- Coverage   71.39%   71.31%   -0.08%     
==========================================
  Files         427      427              
  Lines       62897    62954      +57     
==========================================
- Hits        44903    44897       -6     
- Misses      17994    18057      +63

Components	Coverage Δ
libdd-crashtracker	`62.98% <ø> (-0.02%)`	⬇️
libdd-crashtracker-ffi	`16.56% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`88.02% <ø> (ø)`
libdd-data-pipeline-ffi	`75.72% <ø> (ø)`
libdd-common	`79.73% <ø> (ø)`
libdd-common-ffi	`73.40% <ø> (ø)`
libdd-telemetry	`62.48% <ø> (ø)`
libdd-telemetry-ffi	`16.75% <ø> (ø)`
libdd-dogstatsd-client	`82.64% <ø> (ø)`
datadog-ipc	`80.35% <ø> (-0.12%)`	⬇️
libdd-profiling	`81.60% <ø> (ø)`
libdd-profiling-ffi	`63.65% <ø> (ø)`
datadog-sidecar	`34.48% <ø> (ø)`
datdog-sidecar-ffi	`16.55% <ø> (ø)`
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`94.69% <ø> (ø)`
libdd-trace-protobuf	`68.00% <ø> (ø)`
libdd-trace-utils	`89.07% <ø> (ø)`
datadog-tracer-flare	`88.95% <ø> (ø)`
libdd-log	`74.69% <ø> (ø)`

🚀 New features to boost your workflow:

❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

pr-commenter · 2026-03-06T21:43:05Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-25 19:32:12

Comparing candidate commit 4b412c1 in PR branch gyuheon0h/enable-crashtracker-ffi-ci with baseline commit b1d5bcf in branch main.

Found 7 performance improvements and 16 performance regressions! Performance is the same for 35 metrics, 1 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

🟩 = significantly better candidate vs. baseline
🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:concentrator/add_spans_to_concentrator

🟩 execution_time [-2.628ms; -2.622ms] or [-19.803%; -19.760%]

scenario:credit_card/is_card_number/ 378282246310005

🟥 execution_time [+4.996µs; +5.103µs] or [+7.351%; +7.510%]
🟥 throughput [-1027882.502op/s; -1007227.030op/s] or [-6.985%; -6.845%]

scenario:credit_card/is_card_number/378282246310005

🟥 execution_time [+4.832µs; +4.934µs] or [+7.445%; +7.602%]
🟥 throughput [-1088231.188op/s; -1067290.007op/s] or [-7.063%; -6.927%]

scenario:credit_card/is_card_number/37828224631000521389798

🟥 execution_time [+6.543µs; +6.565µs] or [+14.326%; +14.374%]
🟥 throughput [-2752507.002op/s; -2742586.968op/s] or [-12.572%; -12.527%]

scenario:credit_card/is_card_number/x371413321323331

🟩 execution_time [-802.059ns; -798.770ns] or [-11.728%; -11.680%]
🟩 throughput [+19340643.905op/s; +19427571.770op/s] or [+13.226%; +13.286%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

🟥 execution_time [+4.926µs; +4.971µs] or [+9.220%; +9.303%]
🟥 throughput [-1592842.248op/s; -1579665.231op/s] or [-8.511%; -8.440%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

🟥 execution_time [+4.851µs; +4.939µs] or [+9.661%; +9.835%]
🟥 throughput [-1782432.585op/s; -1753683.918op/s] or [-8.951%; -8.807%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

🟥 execution_time [+6.539µs; +6.562µs] or [+14.317%; +14.368%]
🟥 throughput [-2752067.651op/s; -2741308.106op/s] or [-12.568%; -12.519%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

🟩 execution_time [-800.829ns; -798.125ns] or [-11.713%; -11.673%]
🟩 throughput [+19330537.288op/s; +19402059.948op/s] or [+13.217%; +13.266%]

scenario:normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...

🟥 execution_time [+38.860µs; +39.370µs] or [+7.827%; +7.930%]
🟥 throughput [-148014.723op/s; -146185.126op/s] or [-7.348%; -7.257%]

scenario:normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters

🟥 execution_time [+21.912µs; +21.972µs] or [+13.028%; +13.064%]
🟥 throughput [-687090.280op/s; -685216.150op/s] or [-11.556%; -11.525%]

scenario:sql/obfuscate_sql_string

🟩 execution_time [-201.759µs; -201.571µs] or [-70.131%; -70.065%]

scenario:write only interface

🟩 execution_time [-2.569µs; -2.177µs] or [-46.118%; -39.073%]

Candidate

Candidate benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	241.352ns	250.417ns ± 12.170ns	244.559ns ± 1.607ns	252.282ns	280.969ns	287.671ns	290.229ns	18.67%	1.776	1.993	4.85%	0.861ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[248.731ns; 252.104ns] or [-0.674%; +0.674%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
write only interface	execution_time	1.221µs	3.198µs ± 1.416µs	2.982µs ± 0.030µs	3.008µs	3.656µs	13.953µs	14.661µs	391.72%	7.330	54.967	44.16%	0.100µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.002µs; 3.394µs] or [-6.135%; +6.135%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	534.099µs	535.572µs ± 1.616µs	535.096µs ± 0.379µs	535.557µs	537.734µs	544.624µs	545.201µs	1.89%	3.525	15.709	0.30%	0.114µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1834184.737op/s	1867178.262op/s ± 5574.970op/s	1868824.052op/s ± 1325.304op/s	1870033.240op/s	1871426.648op/s	1871963.605op/s	1872311.650op/s	0.19%	-3.478	15.321	0.30%	394.210op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.213µs	380.847µs ± 0.303µs	380.828µs ± 0.194µs	381.030µs	381.342µs	381.524µs	381.767µs	0.25%	0.295	-0.090	0.08%	0.021µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2619395.760op/s	2625729.754op/s ± 2087.964op/s	2625854.944op/s ± 1337.134op/s	2627106.554op/s	2629103.289op/s	2629760.282op/s	2630107.411op/s	0.16%	-0.291	-0.094	0.08%	147.641op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.667µs	190.131µs ± 0.159µs	190.140µs ± 0.100µs	190.232µs	190.374µs	190.516µs	190.614µs	0.25%	0.013	0.090	0.08%	0.011µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5246210.723op/s	5259538.418op/s ± 4394.987op/s	5259282.989op/s ± 2777.021op/s	5262147.009op/s	5266403.520op/s	5269840.217op/s	5272389.914op/s	0.25%	-0.008	0.090	0.08%	310.773op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.226µs	37.465µs ± 0.066µs	37.463µs ± 0.045µs	37.511µs	37.560µs	37.613µs	37.651µs	0.50%	-0.244	0.569	0.18%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26559845.498op/s	26691958.107op/s ± 46887.937op/s	26692823.519op/s ± 32061.956op/s	26720874.092op/s	26772641.280op/s	26803107.215op/s	26863001.093op/s	0.64%	0.257	0.582	0.18%	3315.478op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.783µs	45.897µs ± 0.101µs	45.885µs ± 0.035µs	45.922µs	45.979µs	46.028µs	47.128µs	2.71%	9.222	110.062	0.22%	0.007µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21218708.299op/s	21788153.640op/s ± 46875.851op/s	21793390.186op/s ± 16448.377op/s	21808257.099op/s	21826736.841op/s	21834851.320op/s	21842216.199op/s	0.22%	-9.045	107.175	0.21%	3314.623op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[535.348µs; 535.796µs] or [-0.042%; +0.042%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1866405.625op/s; 1867950.900op/s] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.805µs; 380.889µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2625440.382op/s; 2626019.125op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.109µs; 190.153µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5258929.315op/s; 5260147.521op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.455µs; 37.474µs] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26685459.890op/s; 26698456.324op/s] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.883µs; 45.911µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21781657.097op/s; 21794650.182op/s] or [-0.030%; +0.030%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
concentrator/add_spans_to_concentrator	execution_time	10.613ms	10.646ms ± 0.016ms	10.645ms ± 0.008ms	10.652ms	10.669ms	10.701ms	10.739ms	0.88%	1.589	6.776	0.15%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[10.644ms; 10.648ms] or [-0.021%; +0.021%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
two way interface	execution_time	17.895µs	25.567µs ± 9.430µs	18.044µs ± 0.114µs	33.981µs	43.280µs	44.442µs	65.469µs	262.83%	0.907	0.305	36.79%	0.667µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.261µs; 26.874µs] or [-5.111%; +5.111%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
ip_address/quantize_peer_ip_address_benchmark	execution_time	4.945µs	5.027µs ± 0.060µs	4.996µs ± 0.015µs	5.061µs	5.133µs	5.136µs	5.139µs	2.87%	0.860	-0.902	1.19%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.018µs; 5.035µs] or [-0.166%; +0.166%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
tags/replace_trace_tags	execution_time	2.384µs	2.437µs ± 0.021µs	2.437µs ± 0.014µs	2.451µs	2.479µs	2.484µs	2.496µs	2.45%	0.203	0.079	0.88%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.434µs; 2.440µs] or [-0.122%; +0.122%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_frames_x1000	execution_time	4.218ms	4.223ms ± 0.008ms	4.221ms ± 0.001ms	4.223ms	4.229ms	4.235ms	4.324ms	2.42%	11.162	141.539	0.18%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.222ms; 4.224ms] or [-0.025%; +0.025%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample2_frames_x1000	execution_time	750.705µs	751.647µs ± 0.550µs	751.555µs ± 0.284µs	751.870µs	752.585µs	753.191µs	755.214µs	0.49%	1.946	8.453	0.07%	0.039µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[751.571µs; 751.723µs] or [-0.010%; +0.010%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	185.310µs	185.695µs ± 0.208µs	185.672µs ± 0.150µs	185.849µs	186.061µs	186.182µs	186.225µs	0.30%	0.415	-0.538	0.11%	0.015µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5369839.651op/s	5385184.179op/s ± 6043.529op/s	5385832.635op/s ± 4340.164op/s	5389792.125op/s	5394091.881op/s	5395346.824op/s	5396357.027op/s	0.20%	-0.411	-0.543	0.11%	427.342op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.888µs	17.986µs ± 0.120µs	17.977µs ± 0.023µs	17.998µs	18.045µs	18.075µs	19.592µs	8.98%	12.194	161.393	0.66%	0.008µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51041854.321op/s	55602020.223op/s ± 342319.266op/s	55625840.987op/s ± 70820.844op/s	55699471.863op/s	55797807.128op/s	55874368.730op/s	55904580.746op/s	0.50%	-11.894	156.081	0.61%	24205.627op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.344µs	10.465µs ± 0.048µs	10.462µs ± 0.036µs	10.500µs	10.547µs	10.571µs	10.589µs	1.21%	0.149	-0.471	0.46%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	94438434.726op/s	95554429.954op/s ± 439781.271op/s	95580108.139op/s ± 334196.843op/s	95906134.061op/s	96243166.250op/s	96424238.409op/s	96671073.012op/s	1.14%	-0.128	-0.474	0.46%	31097.232op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[185.666µs; 185.724µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5384346.604op/s; 5386021.754op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.969µs; 18.002µs] or [-0.092%; +0.092%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55554578.065op/s; 55649462.381op/s] or [-0.085%; +0.085%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.459µs; 10.472µs] or [-0.064%; +0.064%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[95493480.499op/s; 95615379.408op/s] or [-0.064%; +0.064%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
redis/obfuscate_redis_string	execution_time	32.811µs	33.750µs ± 1.270µs	32.948µs ± 0.054µs	35.410µs	35.896µs	35.939µs	36.081µs	9.51%	0.938	-1.058	3.75%	0.090µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.574µs; 33.926µs] or [-0.522%; +0.522%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
receiver_entry_point/report/2597	execution_time	3.144ms	3.172ms ± 0.020ms	3.165ms ± 0.010ms	3.180ms	3.209ms	3.230ms	3.265ms	3.16%	1.321	2.136	0.63%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2597	execution_time	[3.169ms; 3.174ms] or [-0.088%; +0.088%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	85.691µs	86.026µs ± 0.200µs	86.015µs ± 0.058µs	86.073µs	86.143µs	86.306µs	88.433µs	2.81%	8.983	104.681	0.23%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[85.998µs; 86.053µs] or [-0.032%; +0.032%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	160.072µs	160.798µs ± 0.412µs	160.721µs ± 0.143µs	160.873µs	161.276µs	162.429µs	164.014µs	2.05%	4.547	29.828	0.26%	0.029µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[160.741µs; 160.855µs] or [-0.035%; +0.035%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching deserializing traces from msgpack to their internal representation	execution_time	48.427ms	48.726ms ± 0.919ms	48.579ms ± 0.059ms	48.660ms	48.820ms	55.414ms	56.489ms	16.28%	7.485	56.226	1.88%	0.065ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching deserializing traces from msgpack to their internal representation	execution_time	[48.599ms; 48.854ms] or [-0.261%; +0.261%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching serializing traces from their internal representation to msgpack	execution_time	13.933ms	13.992ms ± 0.033ms	13.988ms ± 0.016ms	14.008ms	14.044ms	14.118ms	14.176ms	1.34%	1.842	6.138	0.24%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[13.988ms; 13.997ms] or [-0.033%; +0.033%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.895µs	3.913µs ± 0.007µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.922µs	3.977µs	1.67%	7.624	68.782	0.17%	0.000µs	1	200
credit_card/is_card_number/	throughput	251420338.017op/s	255544656.328op/s ± 425210.692op/s	255608128.343op/s ± 105274.910op/s	255685072.818op/s	255785260.154op/s	255867559.976op/s	256711689.973op/s	0.43%	-7.560	68.051	0.17%	30066.936op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.980µs	79.787µs ± 0.418µs	79.780µs ± 0.326µs	80.097µs	80.590µs	80.759µs	81.226µs	1.81%	0.474	-0.119	0.52%	0.030µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12311391.437op/s	12533706.778op/s ± 65581.160op/s	12534458.629op/s ± 51258.644op/s	12586517.009op/s	12621011.045op/s	12658429.297op/s	12661447.270op/s	1.01%	-0.449	-0.167	0.52%	4637.288op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.281µs	73.006µs ± 0.356µs	72.982µs ± 0.230µs	73.196µs	73.666µs	73.883µs	74.257µs	1.75%	0.597	0.153	0.49%	0.025µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13466829.297op/s	13697810.645op/s ± 66581.482op/s	13701974.721op/s ± 42993.444op/s	13756134.096op/s	13791102.744op/s	13809788.829op/s	13834831.956op/s	0.97%	-0.571	0.101	0.48%	4708.022op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.896µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.919µs	3.920µs	3.922µs	0.23%	-0.458	4.985	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254957501.428op/s	255532785.888op/s ± 195905.673op/s	255556401.330op/s ± 122660.842op/s	255671133.474op/s	255777525.022op/s	255844481.045op/s	256678823.163op/s	0.44%	0.474	5.067	0.08%	13852.623op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.203µs	69.783µs ± 0.365µs	69.719µs ± 0.260µs	70.027µs	70.417µs	70.692µs	70.915µs	1.72%	0.681	-0.243	0.52%	0.026µs	1	200
credit_card/is_card_number/378282246310005	throughput	14101377.940op/s	14330507.014op/s ± 74621.304op/s	14343233.785op/s ± 53411.580op/s	14391385.677op/s	14425335.445op/s	14439095.122op/s	14450260.897op/s	0.75%	-0.661	-0.284	0.52%	5276.523op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.160µs	52.228µs ± 0.037µs	52.226µs ± 0.026µs	52.250µs	52.289µs	52.334µs	52.371µs	0.28%	0.736	0.824	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19094373.743op/s	19146654.043op/s ± 13400.850op/s	19147452.689op/s ± 9495.975op/s	19157418.327op/s	19165396.302op/s	19168034.275op/s	19171756.169op/s	0.13%	-0.732	0.810	0.07%	947.583op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.030µs	6.038µs ± 0.011µs	6.036µs ± 0.003µs	6.039µs	6.071µs	6.081µs	6.118µs	1.37%	4.008	18.753	0.18%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163452431.002op/s	165612006.438op/s ± 297741.497op/s	165683829.263op/s ± 70160.519op/s	165743457.936op/s	165798369.003op/s	165820139.023op/s	165846625.001op/s	0.10%	-3.983	18.472	0.18%	21053.503op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.897µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.914µs	3.917µs	3.920µs	3.928µs	0.39%	0.565	7.600	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254575765.323op/s	255564755.224op/s ± 199492.097op/s	255573254.259op/s ± 101605.583op/s	255670648.192op/s	255816528.228op/s	255916618.382op/s	256610789.901op/s	0.41%	-0.543	7.595	0.08%	14106.221op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.164µs	64.488µs ± 0.141µs	64.474µs ± 0.091µs	64.580µs	64.727µs	64.817µs	64.912µs	0.68%	0.353	-0.152	0.22%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15405447.682op/s	15506883.190op/s ± 33944.390op/s	15510114.236op/s ± 21919.912op/s	15529712.917op/s	15556409.549op/s	15572496.193op/s	15584949.614op/s	0.48%	-0.341	-0.164	0.22%	2400.231op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.107µs	58.380µs ± 0.155µs	58.347µs ± 0.080µs	58.454µs	58.680µs	58.887µs	59.076µs	1.25%	1.392	2.802	0.26%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16927387.805op/s	17129239.943op/s ± 45319.170op/s	17138820.415op/s ± 23462.399op/s	17160114.317op/s	17186178.121op/s	17195150.435op/s	17209549.579op/s	0.41%	-1.370	2.708	0.26%	3204.549op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.914µs	3.917µs	3.917µs	3.919µs	0.16%	-2.290	17.511	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255165529.653op/s	255570747.944op/s ± 171658.120op/s	255574276.453op/s ± 100162.292op/s	255670967.870op/s	255782993.570op/s	255891450.992op/s	256923283.371op/s	0.53%	2.319	17.784	0.07%	12138.062op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.612µs	55.114µs ± 0.314µs	55.093µs ± 0.215µs	55.300µs	55.652µs	55.958µs	56.430µs	2.43%	0.672	0.802	0.57%	0.022µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17720970.276op/s	18144930.133op/s ± 103027.469op/s	18151068.465op/s ± 70950.121op/s	18222706.416op/s	18294054.587op/s	18301152.417op/s	18310883.385op/s	0.88%	-0.632	0.675	0.57%	7285.142op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.156µs	52.219µs ± 0.036µs	52.214µs ± 0.020µs	52.235µs	52.280µs	52.312µs	52.434µs	0.42%	1.625	5.968	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19071697.065op/s	19149966.941op/s ± 13207.929op/s	19151832.185op/s ± 7228.824op/s	19158297.658op/s	19166296.260op/s	19170426.493op/s	19173343.301op/s	0.11%	-1.614	5.894	0.07%	933.942op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.030µs	6.038µs ± 0.009µs	6.036µs ± 0.003µs	6.039µs	6.046µs	6.077µs	6.118µs	1.36%	5.189	35.952	0.15%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163443864.879op/s	165622673.318op/s ± 245319.128op/s	165672978.948op/s ± 74096.731op/s	165739764.200op/s	165794623.822op/s	165837979.657op/s	165845501.095op/s	0.10%	-5.140	35.315	0.15%	17346.682op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.912µs; 3.914µs] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number/	throughput	[255485726.216op/s; 255603586.440op/s] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.729µs; 79.845µs] or [-0.073%; +0.073%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12524617.860op/s; 12542795.696op/s] or [-0.073%; +0.073%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.957µs; 73.055µs] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13688583.092op/s; 13707038.199op/s] or [-0.067%; +0.067%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255505635.246op/s; 255559936.530op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.733µs; 69.834µs] or [-0.072%; +0.072%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14320165.219op/s; 14340848.809op/s] or [-0.072%; +0.072%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.223µs; 52.234µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19144796.814op/s; 19148511.272op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.037µs; 6.040µs] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165570742.330op/s; 165653270.546op/s] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255537107.538op/s; 255592402.910op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.468µs; 64.507µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15502178.824op/s; 15511587.556op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.359µs; 58.402µs] or [-0.037%; +0.037%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17122959.142op/s; 17135520.745op/s] or [-0.037%; +0.037%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255546957.779op/s; 255594538.108op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[55.070µs; 55.157µs] or [-0.079%; +0.079%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18130651.517op/s; 18159208.749op/s] or [-0.079%; +0.079%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.214µs; 52.224µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19148136.449op/s; 19151797.432op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.037µs; 6.039µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165588674.446op/s; 165656672.189op/s] or [-0.021%; +0.021%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	144.537µs	146.399µs ± 1.919µs	146.076µs ± 0.472µs	146.591µs	147.867µs	152.072µs	166.740µs	14.15%	7.094	65.851	1.31%	0.136µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[146.133µs; 146.665µs] or [-0.182%; +0.182%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`4b412c1`	1772834981	gyuheon0h/enable-crashtracker-ffi-ci

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	188.246ns	190.488ns ± 1.854ns	190.287ns ± 1.388ns	191.583ns	194.428ns	195.863ns	196.010ns	3.01%	0.908	0.196	0.97%	0.131ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[190.231ns; 190.745ns] or [-0.135%; +0.135%]	None	None	None

Baseline

Omitted due to size.

dd-octo-sts · 2026-03-06T22:01:01Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	98.65 MB	98.65 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.29 MB	11.29 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	114.29 MB	114.29 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.16 MB	27.16 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	76.26 KB	76.26 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.03 MB	186.03 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.19 MB	917.19 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.93 MB	9.93 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	76.26 KB	76.26 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.76 MB	24.76 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.43 MB	51.43 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	22.97 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.44 KB	77.44 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.23 MB	190.23 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.84 MB	900.84 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.53 MB	7.53 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	77.44 KB	77.44 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.52 MB	26.52 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.06 MB	47.06 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	86.54 MB	86.54 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.23 MB	10.23 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	107.16 MB	107.16 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.98 MB	11.98 MB	0% (0 B) 👌

r1viollet

LGTM 🙇

Aaalibaba42

OK

# What does this PR do? Bump to 29.0.0 [feat(profiling)!: add Tracepoint sample type](#1676) [feat(obfuscation/redis): Reach feature parity on redis obfuscation [APMSP-2668]](#1632) [fix(sidecar): Handle backpressure more gracefully](#1682) [feat(trace-protobuf)!: Add two fields to ClientGroupedStats [SVLS-8627]](#1630) [chore: exclude libdatadog from ADMS auto generated PRs for dependency updates](#1688) [chore(ci): run crashtracking ffi example tests in CI](#1687) [fix(crashtracking): use libunwind to unwind frames](#1663) [feat: publish tracer metadata as OTel process ctx](#1658) [ci: run thread count test in own process](#1693) [feat(obfuscation/json): Init json obfuscation [APMSP-2665]](#1635) [chore(ci): add final_status property on junit XML [APMSP-2610]](#1681) [refactor(data-pipeline-ffi): move macro definitions for better reuse](#1699) [fix(obfuscation/memcached): fuzzing fix](#1695) [ci: replace use of cargo cross for centos7 tests](#1675) #1702 (comment) [feat(stats_exporter)!: add process tags to CSS payloads](#1709) # Motivation I mainly am creating this to use the new unwinding from ucontext for crashtracking # Additional Notes Anything else we should know when reviewing? # How to test the change? Describe here in detail how the change can be validated. [APMSP-2668]: https://datadoghq.atlassian.net/browse/APMSP-2668?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [SVLS-8627]: https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [APMSP-2665]: https://datadoghq.atlassian.net/browse/APMSP-2665?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ Co-authored-by: gyuheon.oh <[email protected]>

gyuheon0h changed the title ~~Enable crashtracking ffi example tests in CI~~ chore(ci): enable crashtracking ffi example tests in CI Mar 6, 2026

gyuheon0h changed the title ~~chore(ci): enable crashtracking ffi example tests in CI~~ chore(ci): run crashtracking ffi example tests in CI Mar 6, 2026

gyuheon0h requested a review from r1viollet March 6, 2026 21:33

gyuheon0h marked this pull request as ready for review March 6, 2026 21:37

gyuheon0h requested review from a team as code owners March 6, 2026 21:37

gyuheon0h force-pushed the gyuheon0h/enable-crashtracker-ffi-ci branch from fe3215f to 23fe2b7 Compare March 6, 2026 21:59

gyuheon0h requested a review from Aaalibaba42 March 6, 2026 22:06

Enable crashtracking ffi example tests in CI

4b412c1

gyuheon0h force-pushed the gyuheon0h/enable-crashtracker-ffi-ci branch from 23fe2b7 to 4b412c1 Compare March 6, 2026 22:09

r1viollet approved these changes Mar 9, 2026

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gh-worker-dd-devflow-36fce6 bot added mergequeue-status: queued mergequeue-status: in_progress mergequeue-status: rejected and removed mergequeue-status: queued mergequeue-status: in_progress labels Mar 9, 2026

Aaalibaba42 approved these changes Mar 9, 2026

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gh-worker-dd-devflow-36fce6 bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: rejected mergequeue-status: queued labels Mar 9, 2026

gh-worker-dd-mergequeue-cf854d bot merged commit 04394ec into main Mar 9, 2026
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gh-worker-dd-devflow-36fce6 bot added mergequeue-status: done and removed mergequeue-status: in_progress labels Mar 9, 2026

gh-worker-dd-mergequeue-cf854d bot deleted the gyuheon0h/enable-crashtracker-ffi-ci branch March 9, 2026 11:20

gyuheon0h mentioned this pull request Mar 11, 2026

chore(cargo): bump to 29.0.0 #1702

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gyuheon0h restored the gyuheon0h/enable-crashtracker-ffi-ci branch March 25, 2026 19:15

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Benchmarks

Comparison

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More details about the CI and significant changes

scenario:concentrator/add_spans_to_concentrator

scenario:credit_card/is_card_number/ 378282246310005

scenario:credit_card/is_card_number/378282246310005

scenario:credit_card/is_card_number/37828224631000521389798

scenario:credit_card/is_card_number/x371413321323331

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

scenario:credit_card/is_card_number_no_luhn/378282246310005

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

scenario:credit_card/is_card_number_no_luhn/x371413321323331

scenario:normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...

scenario:normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters

scenario:sql/obfuscate_sql_string

scenario:write only interface

Candidate

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Baseline

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Artifact Size Benchmark Report

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gyuheon0h commented Mar 6, 2026 •

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